Visualization
This interactive scatter plot displays the Davies-Bouldin index (y-axis) against the number of clusters k (x-axis) for K-means clustering results on citation data from philosophy journals. It visualizes how clustering quality changes from 2 to 10 clusters, showing a minimum at k=7. The visualization uses D3 v3 with `d3.scale.linear`, `d3.svg.axis`, and `d3.scale.category20`, rendering circles in SVG. A button switches the x-axis to a different (unused) data column, while the underlying data comes from a CSV file loaded via `d3.csv`, with tooltips via the d3-tip library and zoom/pan through `d3.behavior.zoom`.
AI-generated descriptionMethod
The 500 most cited or all accessible papers from the following journals where downloaded, and there citation records accessed:
analytical journals:
- Mind
- Analysis
- Philosophical Quarterly
- Ethics
continental journals:
- Continental Philosophy Review
- Journal of Speculative Philosophy
- Constellations
- Journal of the British Society for Phenomenology
The citation data was stripped to the cited authors. The resulting documents where tokenized - divided into single words. Then it was determined for every paper if it contained any of the found names.
| Paper Nr. | Heidegger | Ryle | ... |
|---|---|---|---|
| 1 | 1 | 0 | ... |
| 2 | 1 | 0 | ... |
| 3 | 0 | 1 | ... |
These resulting examples where clustered with a K-means-Algorithm. The Davies-Bouldin-Indexes for this Clustering are shown above. A low index indicates good clustering, which means that the clusters have high internal consistency and are very different to each other So we can say that the hypothesis of two clusters (eg. analytic and continental philosophy) seems not particulary merited (DB = 8.6), expecially when compared to 7 clusters, which yields a DB of 6.92.